--- title: 'Network Engineer at Andromeda Cluster' canonical: 'https://feeny.ai/job/network-engineer-andromeda-cluster-north-wq2b99m40t73' type: 'job' last_seen: '2026-11-05' --- # Network Engineer at Andromeda Cluster - **Company:** Andromeda Cluster - **Location:** North, United States / San Francisco, CA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.ashbyhq.com/andromeda/85dccef8-520e-4087-abc0-ca840b950ed8 ## Job description Network Engineer Location: San Francisco, CA / Remote (US) · Full-Time · Travel up to 25% ## About Andromeda Andromeda is a market and infrastructure platform to buy, sell, and operate compute. We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it. We believe every spare electron should be made productive for AI and we're building the platform that makes that possible. We sit at the center of three forces: - Companies that need reliable, high-performance compute fast - A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers - Capital, risk, and operational complexity that most teams are not equipped to manage When we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite. In five years, Andromeda won't just participate in the AI infrastructure market. We will shape it. ## The Role Andromeda's infrastructure team designs, deploys, and operates large-scale GPU clusters for AI labs and compute providers. The Network Engineer designs and brings up the networks in our GPU clusters: compute fabric, storage network, front-end, and out-of-band management. You work with the Cluster Architect on design and with deployment engineers on site through validation. You report to the Head of Infrastructure. ## What You'll Own - Compute fabric: InfiniBand (NDR, XDR) and Spectrum-X Ethernet fabrics, including rail-optimized topologies and NVLink domain integration. - Storage and front-end networks: Design and capacity planning for storage traffic, tenant access, and internet and cloud interconnect. - Cabling and optics: Cabling plans, optics BOMs, and labeling standards integrators can build from. - Bring-up and validation: Fabric bring-up, NCCL and fabric performance testing, and sign-off for acceptance. - Troubleshooting: Escalation point for fabric issues during deployment and in Day 2. - Automation: Configuration templates and tooling so each build starts from a known-good baseline. ## What We're Looking For - GPU fabrics at scale: Hands-on design and bring-up of InfiniBand or RoCE fabrics for clusters of 1,000+ GPUs. - Tooling: Experience with NVIDIA UFM and switch operating systems such as Cumulus or SONiC. - Physical layer: Practical knowledge of optics, transceivers, and high-density cabling. - Automation: Python and Ansible or similar for configuration and validation. Strong Candidates May Have - NVL72: Experience with GB200 or GB300 NVL72 rack-scale systems. - Multi-site: Data center interconnect and cloud interconnect design. - Customer-facing: Experience working directly with customer ML infrastructure teams. ## Why You'll Love It Here - Own the network design standard for our clusters - Work on current and next-generation fabrics across many sites and customers - High talent density, high trust team shaping the compute market - Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ## About Andromeda Cluster ## Company Overview - **One-liner**: Andromeda is building the liquidity layer for global AI compute, connecting AI teams with high-performance GPU capacity through a trusted marketplace that standardizes and matches supply with demand. - **Entity Type**: Private (Funding not disclosed) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 (inferred from public launch in March 2026 after three years of operation) - **Founders**: Nat Friedman, Daniel Gross ## Core Business - **Primary industry**: AI infrastructure and compute marketplace - **Target customers**: B2B – AI labs, data centers, cloud providers, and any organization building large-scale AI workloads - **Mission/purpose**: To make high-performance compute available to every team building at the frontier, so breakthroughs are driven by ideas, not hardware access. ## Products & Services - **[Andromeda Marketplace (Buy Side)]**: A single platform where AI teams can define their workload (GPU type, quantity, region, timeline) and access real-time pricing across 100+ providers. The platform benchmarks, prices, routes, and deploys compute – reserved, on-demand, or spot – with standardized SLAs, contracts, and full observability. - **[Andromeda Marketplace (Sell Side)]**: Enables compute providers (telcos, crypto data centers, MSPs, sovereign clouds) to onboard their infrastructure, get it certified against enterprise-grade benchmarks, receive qualified demand, and start earning revenue with standardised terms and one invoice. - **Managed Clusters**: Began as a single multi-thousand GPU cluster for early-stage startups; now operates a constellation of clusters across many providers, supporting both training and inference workloads. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key metric**: 1 billion+ GPU-hours of compute managed; over 1000 transactions completed; 100+ compute providers on the platform - **Notable Investors/Partners**: Founders are well-known tech figures (Nat Friedman, former GitHub CEO; Daniel Gross, investor/entrepreneur). Specific investors not disclosed. Works with leading AI labs, data centers, and cloud providers. - **Growth Signals**: Public launch in March 2026; 14 employees with +15.8% monthly headcount growth; 10 active job postings; +11.1% monthly job posting trend; global remote hiring with San Francisco office. ## Competitive Advantages - **Standardized certification**: Every cluster on the network must meet uniform benchmarks for GPU, CPU, storage, network fabric, throughput, and security – removing trust barriers. - **Matching engine**: Prices, routes, and deploys the right infrastructure to the right workload automatically, with options for reserved, on-demand, and spot. - **Full-stack market infrastructure**: Sourcing, certification, contracting, matching, operations, and observability – all under one relationship. - **Founder credibility**: Built by Nat Friedman and Daniel Gross, giving the platform instant legitimacy and access to early AI labs. ## Strategic Focus - Build the liquidity layer for global AI compute: expand the network of providers and buyers, deepen the orchestration layer, and enable compute to flow as freely as other commodities. - Grow the team across engineering, sales, partnerships, and operations – with a strong emphasis on AI infrastructure roles. ## Why Work Here - **Culture & environment**: Small, high-impact team (14 people) working on one of the most critical bottlenecks in AI. Flat structure with direct access to leadership. - **Remote/hybrid policy**: Global remote with a San Francisco office. Many roles listed as "Global Remote / San Francisco, CA". - **Engineering culture**: Deep technical challenges – GPU orchestration, distributed systems, observability, kernel-level performance tuning. Tech stack includes Kubernetes, Slurm, PyTorch, CUDA, Weka, Prometheus, Grafana, and more. - **Roles available**: Compute Trader, Site Reliability Engineer, Software Engineer, Head of Partnerships, Solutions Engineer, Strategic Compute Finance Lead, and more – all focused on AI infrastructure. ## Sources 1. [Andromeda Homepage](https://www.andromeda.ai/) 2. [Andromeda Careers Page](https://andromeda.ai/careers) 3. [LinkedIn Company Page](https://www.linkedin.com/company/andromeda-cluster) 4. [Built In Profile](https://builtin.com/company/andromeda-andromeda-ai) 5. [Andromeda Insights Page](https://andromeda.ai/insights) ## Other roles at Andromeda Cluster - [Technical Program Manager, Infrastructure](https://feeny.ai/job/technical-program-manager-infrastructure-andromeda-cluster-north-5c9my8cnyws9) — North, United States / San Francisco, CA - [Site Selection Lead](https://feeny.ai/job/site-selection-lead-andromeda-cluster-north-78ckpe7c9xgs) — North, United States / San Francisco, CA - [Deployment Engineer](https://feeny.ai/job/deployment-engineer-andromeda-cluster-north-pgzdtkywntny) — North, United States / San Francisco, CA - [Cluster Architect](https://feeny.ai/job/cluster-architect-andromeda-cluster-north-y1vvwzj24vzd) — North, United States / San Francisco, CA - [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-andromeda-cluster-global-san-francisco-ca-2em77dyqtd0k) — Global / San Francisco, CA - [Member of the Technical Staff - Provider Tools](https://feeny.ai/job/member-of-the-technical-staff-provider-tools-andromeda-cluster-north-42pjzgv0nber) — North, United States / San Francisco, CA - [Member of the Technical Staff - Customer Tools](https://feeny.ai/job/member-of-the-technical-staff-customer-tools-andromeda-cluster-north-2mb86bjdjc9c) — North, United States / San Francisco, CA - [Head of Marketing](https://feeny.ai/job/head-of-marketing-andromeda-cluster-north-nkdbsczxczmd) — North, United States / San Francisco, CA - [Revenue Operations Lead](https://feeny.ai/job/revenue-operations-lead-andromeda-cluster-north-85ygfakh7akh) — North, United States / San Francisco, CA - [Customer Reliability Engineer](https://feeny.ai/job/customer-reliability-engineer-andromeda-cluster-apac-m9h31ppdb2fc) — APAC